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137
datasets available to search
ShareScore release 0.7.1
Dataset results
137 results for “Mixed Model”
Accuracy of Arch Analysis in Mixed Dentition Using Digital Models Versus Plaster Ones.
ClinicalTrials.gov study NCT03714932. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Multivariate Predictive-discriminatory Model of Academic Performance in Medical Students. A Mixed Longitudinal Study.
ClinicalTrials.gov study NCT04105049. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Application of Large Language Models Techniques to Post-ICU Syndrome Management in Critically Ill Patients: A Fully Longitudinal Mixed Study
ClinicalTrials.gov study NCT07141420. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Mixed-model reanalysis of primate data suggests tissue and species biases
Open the record for dataset details and reuse information.
Single cell RNA sequencing (scRNA-seq) data on the human CD45+ cells and tumor cells collected from four different treatment groups of hCD34+ humanized mice with human TNBC xenografic tumor model (mix
GEO Series GSE229723. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.
A linear-mixed model approach to identify expressed SFPs using short oligo microarrays - Placenta vs. Fibroblast
GEO Series GSE10446. Sus scrofa. 6 samples. Type: Expression profiling by genome tiling array.
A linear-mixed model approach to identify expressed single nucleotide polymorphisms using short oligo microarrays
GEO Series GSE10447. Sus scrofa. 6 samples. Type: Expression profiling by genome tiling array.
PLAsTiCC rolling mix 10 yr Models
<p>PLAsTiCC models simulated with LSST rolling mix 10yrs opsim cadence</p>
A mixing-bonds model to explain friction of graphite-like films
<p>Data of the MS A mixing-bonds model to explain friction of graphite-like films</p>
Illness Perception and Coping in Kidney Transplant Recipients: a Mixed Research Based on Common Sense Model
ClinicalTrials.gov study NCT06195696. IPD Sharing: YES. Countries: 0. Publications: 0.
Discriminative Mixed-Membership Models
Although mixed-membership models have achieved great success in unsupervised learning, they have not been widely applied to classification problems. In this paper, we propose a family of discriminative mixed-membership models for classification by combining unsupervised mixed membership models with multi-class logistic regression. In particular, we propose two variants respectively applicable to text classification based on latent Dirichlet allocation and usual feature vector classification based on mixed membership naive Bayes models. The proposed models allow the number of components in the mixed membership to be different from the number of classes. We propose two variational inference based algorithms for learning the models, including a fast variational inference which is substantially more efficient than mean-field variational approximation. Through extensive experiments on UCI and text classification benchmark datasets, we show that the models are competitive with the state of the art, and can discover components not explicitly captured by the class labels.
ATAC-seq analysis of aged-associated B cells (ABC) across three TLR9 genotypes (TLR9WT, TLR9-/- and non-signaling TLR9P915H/P915H) isolated from a mixed chimeric setting in the MRL/lpr murine model of
GEO Series GSE202103. Mus musculus. 9 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Model code and Data for manuscript 'The Role of Wave-induced Mixing in Spring Phytoplankton Bloom in the South Yellow Sea'
<p>This repository contains four files:</p> <p>(1) Wave-induced mixing data for China seas;</p> <p>(2) Water transparency data for the South Yellow Sea;</p> <p>(3) Observation data used in this study; and</p> <p>(4) Model code for our ecological model and model experiments, including configuration data file. </p>
Dataset of the paper "Minimal detectable change of gait and balance measures in older neurological patients: estimating the standard error of the measurement from before-after rehabilitation data thanks to the linear mixed-effects models"
<p>The Excel file contains the dataset whose analysis has been presented in the manuscript entitled <em>"Minimal detectable change of gait and balance measures in older neurological patients: estimating the standard error of the measurement from before-after rehabilitation data thanks to the linear mixed-effects models" </em>and published in J Neuroeng Rehabil (doi: 10.1186/s12984-024-01339-4; PMID: 38566189).</p> <p>This data set cannot be publicly available because of sensitive information. Please send your request to: a.caronni@auxologico.it.</p>
PriOmics: integration of high_throughput proteomic data with complementary omics layers using mixed graphical modeling with group priors
GEO Series GSE253910. Homo sapiens. 360 samples. Type: Expression profiling by high throughput sequencing.
A single-cell gene expression analysis in an in vitro co-culture model containing fibroblast cells directly mixed with NMU-manipulated lung adenocarcinoma cells
GEO Series GSE240911. Homo sapiens. 1 samples. Type: Expression profiling by high throughput sequencing.
The effects of adipose tissue-derived mesenchymal stem cells intranasal administration on the house dust mite-induced mixed airway inflammation in an experimental asthma model
GEO Series GSE211620. Mus musculus. 15 samples. Type: Expression profiling by high throughput sequencing.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.